FAST-IT: F ind A S imple T est - I n T IA (transient ischaemic attack): a prospective cohort study to develop a multivariable prediction model for diagnosis of TIA through proteomic discovery and candidate lipid mass spectrometry, neuroimaging and machine learning-study protocol.
Austin G MiltonStephan LauKarlea L KremerSushma R RaoEmilie MasMarten F SnelPaul J TrimDeeksha SharmaSuzanne Melissa EdwardsMark JenkinsonTimothy John KleinigErik NoschkaMonica Anne Hamilton-BruceSimon A KoblarPublished in: BMJ open (2022)
Patients will provide written informed consent to participate in this grant-funded study. The Central Adelaide Local Health Network Human Research Ethics Committee approved this study (HREC/18/CALHN/384; R20180618). Findings will be disseminated through peer-reviewed publication and conferences; data will be managed according to our Data Management Plan (DMP2020-00062).
Keyphrases
- machine learning
- mass spectrometry
- big data
- public health
- study protocol
- randomized controlled trial
- end stage renal disease
- healthcare
- electronic health record
- endothelial cells
- ejection fraction
- clinical trial
- mental health
- peritoneal dialysis
- fatty acid
- patient reported outcomes
- social media
- brain injury
- blood brain barrier
- double blind
- network analysis
- simultaneous determination